Home           Contact us           FAQs           
 
   Journal Page   |   Aims & Scope   |   Author Guideline   |   Editorial Board   |   Search
    Abstract
2013 (Vol. 6, Issue: 18)
Article Information:

The Static Stiffness Linear Regression of Parallel Mechanism Based on the Orthogonal Experiment

Wang-Nan, Zhao-Cheng Kang, Gao-Peng, Pang-Bo and Zhou-Shasha
Corresponding Author:  Wang-Nan 

Key words:  Linear regression, orthogonal experiment, parallel mechanism, static stiffness, , ,
Vol. 6 , (18): 3396-3399
Submitted Accepted Published
January 19, 2013 February 22, 2013 October 10, 2013
Abstract:

Using the orthogonal experimental method, we can get the linear regression model of about parallel mechanism stiffness. Selecting four factors three levels of orthogonal experiment method, in ANSYS-workbench to space in third rotation 3-SPS/S parallel mechanism for static stiffness analysis, we have won nine of the data of the experiments, the application of the MATLAB software to experimental data is linear regression, which can get the static stiffness linear regression of parallel mechanism, under the influence of the stiffness, the regression function can be predicted in the different factors of parallel mechanism, we provide a new basis and reference for the following static stiffness analysis.
Abstract PDF HTML
  Cite this Reference:
Wang-Nan, Zhao-Cheng Kang, Gao-Peng, Pang-Bo and Zhou-Shasha, 2013. The Static Stiffness Linear Regression of Parallel Mechanism Based on the Orthogonal Experiment.  Research Journal of Applied Sciences, Engineering and Technology, 6(18): 3396-3399.
    Advertise with us
 
ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
Submit Manuscript
   Current Information
   Sales & Services
   Contact Information
  Executive Managing Editor
  Email: admin@maxwellsci.com
  Publishing Editor
  Email: support@maxwellsci.com
  Account Manager
  Email: faisalm@maxwellsci.com
  Journal Editor
  Email: admin@maxwellsci.com
  Press Department
  Email: press@maxwellsci.com
Home  |  Contact us  |  About us  |  Privacy Policy
Copyright © 2009. MAXWELL Science Publication, a division of MAXWELLl Scientific Organization. All rights reserved